add PG Materialized View to optimize prometheus aggregator queries #2523
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jirevwe
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jirevwe
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| CREATE MATERIALIZED VIEW IF NOT EXISTS convoy.event_queue_backlog_metrics_mv AS | ||
| WITH a1 AS ( | ||
| SELECT ed.project_id, | ||
| COALESCE(e.source_id, 'http') AS source_id, | ||
| EXTRACT(EPOCH FROM (NOW() - MIN(ed.created_at))) AS age_seconds | ||
| FROM convoy.event_deliveries ed | ||
| LEFT JOIN convoy.events e ON e.id = ed.event_id | ||
| WHERE ed.status = 'Processing' | ||
| GROUP BY ed.project_id, e.source_id | ||
| LIMIT 1000 -- samples | ||
| ) | ||
| SELECT * FROM a1 | ||
| UNION ALL |
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Using UNION ALL here and in other queries might create duplicate entries when processing queue is empty
jirevwe
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We should run (using EXPLAIN ANALYSE) these queries against the US prod db to verify they use an index on the event deliveries table. |
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Problem
In production environments with large datasets, Prometheus metrics collection was timing out due to expensive aggregation queries running directly against large tables. The queries were taking longer than the configured timeout, resulting in failed metric collections and incomplete monitoring data.
This often results into error like
Solution
This PR introduces Materialized Views for metrics collection to significantly improve query performance, along with a configurable query timeout.